# DC-research/TEMPO

<https://repo.masters-masters.com/en/repos/DC-research/TEMPO>

[Home](https://repo.masters-masters.com/en) › [DC-research](https://repo.masters-masters.com/en/owners/DC-research) › [TEMPO](https://repo.masters-masters.com/en/repos/DC-research/TEMPO)

DC-research/TEMPO has 143 stars on GitHub. Its RepoMasters card: Prototype tier. The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer…

| Field | Value |
| --- | --- |
| Owner | [DC-research](https://repo.masters-masters.com/en/owners/DC-research) |
| Stars | 143 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | forecasting, forecasting-models, forecasting-time-series, foundation-models, gpt, pretrained-language-model, pretrained-models, time-series, time-series-analysis, transformer |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [DC-research/TEMPO](https://github.com/DC-research/TEMPO) |

## Repository

The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.